The deeper problem is not just automation but ambiguity about who owns decisions, accountability and outcomes.
We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .
Söderlund has also spoken about the company's machine learning efforts to help animate its AI robots. Which isn't "generative" AI—but it still reflects the core tension of AI tools, which promise to ...
Hosted on MSN
KWC to implement new academic model
Red states are preparing for an end to the Voting Rights Act Blue Jays reveal new plan for facing Shohei Ohtani with 1-word message Jamaica braces for category 5 hurricane Melissa My Favorite 112-Year ...
Abstract: Matrix decomposition is a mathematical method widely adopted in computer science for its reliability and outstanding performance. It is often chosen for use in the computer vision field, ...
Improving the Instance-Dependent Transition Matrix Estimation by Exploiting Self-Supervised Learning
Abstract: The transition matrix reveals the transition relationship between clean labels and noisy labels. It plays an important role in building statistically consistent classifiers for learning with ...
Department of Chemistry, Waterloo Data and Artificial Intelligence Institute and Waterloo Institute for Nanotechnology, University of Waterloo, Waterloo, ON N2L 3G1, Canada ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback